Transparency and Reproducibility in Pharmacoepidemiology: Moving Towards a Better Approach

Transparency and Reproducibility in Pharmacoepidemiology: Moving Towards a Better Approach

Summary

About the presentation: Transparency and reproducibility are increasingly recognized as essential to credible real-world evidence, but putting these principles into practice can feel burdensome. In this talk, we make the case for why a better approach is needed and show how practical tools such as preregistered protocols, HARPER, code sharing, and transparency statements can be integrated into everyday research. Drawing on real-world examples, we will explore how transparent practices help us distinguish credible evidence, understand conflicting findings, and build reusable research infrastructure that can ultimately make rigorous RWE generation more efficient, not less.

About the presenters:

Anton Pottegård is a clinical epidemiologist whose work focuses on strengthening methodological rigor and building shared infrastructure for reproducible research. He has contributed to preregistration initiatives, development of pragmatic common data models to enable code reuse and validation across sites, and embeds open science into routine research workflows and professional norms by promoting structured transparency statements and teaching courses focused on transparency and reproducibility.

Shirley V. Wang is a leader in advancing transparency and reproducibility in healthcare database research. Her work has been informed by large-scale empirical assessments of RWE study reproducibility, resulting in development of structured protocol templates, graphical frameworks for study design, and preregistration infrastructure through the Real-World Evidence Registry. She translates open science principles into applied research practice by mentoring investigators to treat transparency as a baseline expectation for credible science.